معرفی
Yinghui Wu is the Theodore L. & Dana J. Schroeder Associate Professor in Computer Science & Engineering at Case Western Reserve University, affiliated with the Department of Computer and Data Sciences within the Case School of Engineering. His research focuses on devising novel data management and analysis techniques for applications in materials science, cyber-physical systems, cybersecurity, and energy systems. He holds a PhD in Computer Science from the University of Edinburgh (2011) and a BSc from Peking University (2007).
- Education:
- PhD Computer Science, University of Edinburgh, 2011
- Bachelor of Science in Computer Science, Peking University, 2007
His research interests span Database Systems, Data Mining, and Applied Machine Learning, with multidisciplinary applications in energy systems and cybersecurity. Notable contributions include work on photovoltaic performance prediction using graph neural networks and anomaly detection in transmission protection systems.
His awards include the 2023 IEEE Best Reviewer Award, 2020 IEEE BigData Best Paper Award, and 2015 ACM Google Faculty Research Award. He teaches undergraduate and graduate courses in data systems and data management.
Recent publications highlight advancements in cyber-physical security analytics, knowledge graph fact checking, and ensemble-based anomaly detection in smart grids.
